MEDIATOR project
The MEDIATOR project, led by SWOV, is developing a mediating system for drivers in semi-automated and highly automated vehicles. This system aims to ensure safe, real-time switching between human drivers and automated systems based on who is best suited to drive. The project involves a consortium of research institutions and industry experts, including SWOV, Royal Netherlands Aerospace Centre, Capgemini Engineering, Chemnitz University of Technology, VTI, Autoliv, FCA Italy (Stellantis), Ben-Gurion University of the Negev, Kongsberg, Cygnify, TU Delft, Zenseact, and Veoneer. The system integrates knowledge of human factors and HMI, leverages expertise from aviation, rail, and maritime sectors, and incorporates advanced technologies like AI and deep learning. The goal is to optimize the safety potential of vehicle automation, reduce risks associated with driver fatigue or automation limitations, and facilitate market exploitation by involving the automotive industry. The project will produce guidelines for measuring driver performance, HMI design, low-cost testing, and legal/regulatory aspects, ultimately aiming to enhance road safety, reduce congestion, and minimize injuries.
MEDIATOR project
The MEDIATOR project, led by SWOV, is developing a mediating system for drivers in semi-automated and highly automated vehicles. This system aims to ensure safe, real-time switching between human drivers and automated systems based on who is best suited to drive. The project involves a consortium of research institutions and industry experts, including SWOV, Royal Netherlands Aerospace Centre, Capgemini Engineering, Chemnitz University of Technology, VTI, Autoliv, FCA Italy (Stellantis), Ben-Gurion University of the Negev, Kongsberg, Cygnify, TU Delft, Zenseact, and Veoneer. The system integrates knowledge of human factors and HMI, leverages expertise from aviation, rail, and maritime sectors, and incorporates advanced technologies like AI and deep learning. The goal is to optimize the safety potential of vehicle automation, reduce risks associated with driver fatigue or automation limitations, and facilitate market exploitation by involving the automotive industry. The project will produce guidelines for measuring driver performance, HMI design, low-cost testing, and legal/regulatory aspects, ultimately aiming to enhance road safety, reduce congestion, and minimize injuries.